Rumpke Waste & Recycling

The Challenge

After a battery fire destroyed its recycling facility, Rumpke needed a proactive solution to detect hazardous materials—especially lithium-ion batteries—before they caused thermal events.

Traditional manual sorting wasn’t enough.

The Solution

Rumpke implemented Visia’s AI-powered X-ray system on its pre-sort line.

The system uses machine learning to automatically identify hazardous materials—like batteries and gas tanks—within seconds, even through dense piles of material.

A mounted laser pointer alerts sorters to the exact location of flagged items for manual removal.

Real-Time Insight

Rumpke’s operations team now accesses real-time material composition data through Visia’s dashboard, replacing manual audits with continuous insight.

The system learns and improves over time, adapting to Rumpke’s evolving material stream.

Impact at a Glance

• Hazardous items detected & removed
• 0 shredder fires since system implementation
• Real-time contamination and material stream tracking
• Improved uptime and operational efficiency